AI GOVERNANCE, RISK, COMPLIANCE & ASSURANCE

AI GRCA
Practice Lab.

Practise the decisions behind responsible AI.

Step into realistic workplace scenarios. Challenge outputs, map risks, choose controls and build the evidence behind a defensible governance decision.

Training simulation only. Not for live recruitment use.
Fictional candidates. No real CVs. No hiring decisions.
HIREAI / GOVERNANCE REVIEWSIMULATION
STEP 05 OF 1338% COMPLETE
SIMULATED OUTPUT

Challenge the AI ranking

91 /100
CA
Candidate ATraditional graduate route
Strong shortlist
YOUR ASSESSMENTDo you trust this ranking?

Look beyond the score. What assumptions or missing evidence could affect this result?

Start writing your assessment...
Built for practical GRC learningSystem definitionHarm mappingRisk registerControl designEvidence pack
THE PRACTITIONER JOURNEY

Move from “the AI said so”
to an evidence-based decision.

This is not a quiz. You will work through the same questions a governance practitioner should ask before a consequential AI system goes live.

01 · INVESTIGATE

See who could be harmed

Review seven fictional candidates and uncover how design choices can disadvantage non-traditional profiles.

02 · ASSESS

Turn concerns into risks

Connect causes, events and impacts. Assess severity and likelihood instead of relying on vague principles.

03 · CONTROL

Demand evidence, not promises

Choose meaningful controls, define human oversight and state what would prove each control works.

04 · DECIDE

Make a defensible call

Approve, restrict, delay or block—and export a structured record of your reasoning.